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Original Article
Thyroid
The Positive Association between Subclinical Hypothyroidism and Newly-Diagnosed Hypertension Is More Explicit in Female Individuals Younger than 65
Xichang Wang, Haoyu Wang, Li Yan, Lihui Yang, Yuanming Xue, Jing Yang, Yongli Yao, Xulei Tang, Nanwei Tong, Guixia Wang, Jinan Zhang, Youmin Wang, Jianming Ba, Bing Chen, Jianling Du, Lanjie He, Xiaoyang Lai, Yanbo Li, Zhaoli Yan, Eryuan Liao, Chao Liu, Libin Liu, Guijun Qin, Yingfen Qin, Huibiao Quan, Bingyin Shi, Hui Sun, Zhen Ye, Qiao Zhang, Lihui Zhang, Jun Zhu, Mei Zhu, Yongze Li, Weiping Teng, Zhongyan Shan
Endocrinol Metab. 2021;36(4):778-789.   Published online August 10, 2021
DOI: https://doi.org/10.3803/EnM.2021.1101
  • 5,656 View
  • 150 Download
  • 3 Web of Science
  • 3 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Subclinical hypothyroidism (SCH) is the most common thyroid dysfunction, and its relationship with blood pressure (BP) has been controversial. The aim of the study was to analyze the association between SCH and newly-diagnosed hypertension.
Methods
Based on data from the Thyroid disease, Iodine nutrition and Diabetes Epidemiology (TIDE) study, 49,433 euthyroid individuals and 7,719 SCH patients aged ≥18 years were enrolled. Patients with a history of hypertension or thyroid disease were excluded. SCH was determined by manufacturer reference range. Overall hypertension and stage 1 and 2 hypertension were diagnosed according to the guidelines issued by the American College of Cardiology/American Heart Association in 2017.
Results
The prevalence of overall hypertension (48.7%), including stage 1 (28.9%) and 2 (19.8%) hypertension, increased significantly in SCH patients compared with euthyroid subjects. With elevated serum thyroid stimulating hormone (TSH) level, the hypertension prevalence also increased significantly from the euthyroid to different SCH subgroups, which was more profound in females or subjects aged <65 years. The age- and sex-specific regression analysis further demonstrated the same trends in the general population and in the 1:1 propensity matched population. Similarly, several BP components (i.e., systolic, diastolic, and mean arterial BP) were positively associated with TSH elevation, and regression analysis also confirmed that all BP components were closely related with SCH in female subjects aged <65 years.
Conclusion
The prevalence of hypertension increases for patients with SCH. SCH tends to be associated with hypertension and BP components in females younger than 65 years.

Citations

Citations to this article as recorded by  
  • Systematic review and meta-analysis of levothyroxine effect on blood pressure in patients with subclinical hypothyroidism
    Bahar Darouei, Reza Amani-Beni, Amir Parsa Abhari, Mohammad Fakhrolmobasheri, Davood Shafie, Maryam Heidarpour
    Current Problems in Cardiology.2024; 49(2): 102204.     CrossRef
  • Gender-Specific Associations Between Metabolic Disorders and Thyroid Nodules: A Cross-Sectional Population-Based Study from China
    Fan Zhang, Di Teng, Nanwei Tong, Guixia Wang, Yongze Li, Xiaohui Yu, Zhongyan Shan, Weiping Teng
    Thyroid.2022; 32(5): 571.     CrossRef
  • Effect of Levothyroxine Supplementation on the Cardiac Morphology and Function in Patients With Subclinical Hypothyroidism: A Systematic Review and Meta-analysis
    Xichang Wang, Haoyu Wang, Qiuxian Li, Ping Wang, Yumin Xing, Fan Zhang, Jiashu Li, Zhongyan Shan
    The Journal of Clinical Endocrinology & Metabolism.2022; 107(9): 2674.     CrossRef
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Review Article
Obesity and Metabolism
Effects of Cardiovascular Risk Factor Variability on Health Outcomes
Seung-Hwan Lee, Mee Kyoung Kim, Eun-Jung Rhee
Endocrinol Metab. 2020;35(2):217-226.   Published online June 24, 2020
DOI: https://doi.org/10.3803/EnM.2020.35.2.217
  • 9,280 View
  • 193 Download
  • 26 Web of Science
  • 28 Crossref
AbstractAbstract PDFPubReader   ePub   
Innumerable studies have suggested “the lower, the better” for cardiovascular risk factors, such as body weight, lipid profile, blood pressure, and blood glucose, in terms of health outcomes. However, excessively low levels of these parameters cause health problems, as seen in cachexia, hypoglycemia, and hypotension. Body weight fluctuation is related to mortality, diabetes, obesity, cardiovascular disease, and cancer, although contradictory findings have been reported. High lipid variability is associated with increased mortality and elevated risks of cardiovascular disease, diabetes, end-stage renal disease, and dementia. High blood pressure variability is associated with increased mortality, myocardial infarction, hospitalization, and dementia, which may be caused by hypotension. Furthermore, high glucose variability, which can be measured by continuous glucose monitoring systems or self-monitoring of blood glucose levels, is associated with increased mortality, microvascular and macrovascular complications of diabetes, and hypoglycemic events, leading to hospitalization. Variability in metabolic parameters could be affected by medications, such as statins, antihypertensives, and hypoglycemic agents, and changes in lifestyle patterns. However, other mechanisms modify the relationships between biological variability and various health outcomes. In this study, we review recent evidence regarding the role of variability in metabolic parameters and discuss the clinical implications of these findings.

Citations

Citations to this article as recorded by  
  • Sex Differences in Low-Density Lipoprotein Cholesterol Treatment Among Young Israeli Patients Following Premature Acute Coronary Syndrome
    Feras Haskiah, Karam Abdelhai, Ranin Hilu, Abid Khaskia
    Metabolic Syndrome and Related Disorders.2024;[Epub]     CrossRef
  • Long-term variability in physiological measures in relation to mortality and epigenetic aging: prospective studies in the USA and China
    Hui Chen, Tianjing Zhou, Shaowei Wu, Yaying Cao, Geng Zong, Changzheng Yuan
    BMC Medicine.2023;[Epub]     CrossRef
  • Big Data Research in the Field of Endocrine Diseases Using the Korean National Health Information Database
    Sun Wook Cho, Jung Hee Kim, Han Seok Choi, Hwa Young Ahn, Mee Kyoung Kim, Eun Jung Rhee
    Endocrinology and Metabolism.2023; 38(1): 10.     CrossRef
  • Relationship between Short- and Mid-Term Glucose Variability and Blood Pressure Profile Parameters: A Scoping Review
    Elena Vakali, Dimitrios Rigopoulos, Petros C. Dinas, Ioannis-Alexandros Drosatos, Aikaterini G. Theodosiadi, Andriani Vazeou, George Stergiou, Anastasios Kollias
    Journal of Clinical Medicine.2023; 12(6): 2362.     CrossRef
  • Lipid treatment status and goal attainment among patients with premature acute coronary syndrome in Israel
    Feras Haskiah, Abid Khaskia
    Journal of Clinical Lipidology.2023; 17(3): 367.     CrossRef
  • Research on obesity using the National Health Information Database: recent trends
    Eun-Jung Rhee
    Cardiovascular Prevention and Pharmacotherapy.2023; 5(2): 35.     CrossRef
  • Risk of fracture according to temporal changes of low body weight changes in adults over 40 years: a nationwide population-based cohort study
    Jung Guel Kim, Jae-Young Hong, Jiwon Park, Sang-Min Park, Kyungdo Han, Ho-Joong Kim, Jin S. Yeom
    BMC Public Health.2023;[Epub]     CrossRef
  • Factors Affecting High Body Weight Variability
    Kyungdo Han, Mee Kyoung Kim
    Journal of Obesity & Metabolic Syndrome.2023; 32(2): 163.     CrossRef
  • Puerarin Attenuates High-Glucose and High-Lipid-Induced Inflammatory Injury in H9c2 Cardiomyocytes via CAV3 Protein Upregulation
    YiFu Tian, CaiXia Zhou, XiaoYang Bu, Qian Lv, Qin Huang
    Journal of Inflammation Research.2023; Volume 16: 2707.     CrossRef
  • Visit-to-Visit Glucose Variability, Cognition, and Global Cognitive Decline: The Multi-Ethnic Study of Atherosclerosis
    Christopher L Schaich, Michael P Bancks, Kathleen M Hayden, Jingzhong Ding, Stephen R Rapp, Alain G Bertoni, Susan R Heckbert, Timothy M Hughes, Morgana Mongraw-Chaffin
    The Journal of Clinical Endocrinology & Metabolism.2023; 109(1): e243.     CrossRef
  • Association between lipid variability and the risk of mortality in cancer patients not receiving lipid-lowering agents
    Seohyun Kim, Gyuri Kim, So Hyun Cho, Rosa Oh, Ji Yoon Kim, You-Bin Lee, Sang-Man Jin, Kyu Yeon Hur, Jae Hyeon Kim
    Frontiers in Oncology.2023;[Epub]     CrossRef
  • The Association of Postprandial Triglyceride Variability with Renal Dysfunction and Microalbuminuria in Patients with Type 2 Diabetic Mellitus: A Retrospective and Observational Study
    Natsumi Matsuoka-Uchiyama, Haruhito A. Uchida, Shugo Okamoto, Yasuhiro Onishi, Katsuyoshi Katayama, Mariko Tsuchida-Nishiwaki, Hidemi Takeuchi, Rika Takemoto, Yoshiko Hada, Ryoko Umebayashi, Naoko Kurooka, Kenji Tsuji, Jun Eguchi, Hirofumi Nakajima, Kenic
    Journal of Diabetes Research.2022; 2022: 1.     CrossRef
  • Associations of variability in body weight and glucose levels with the risk of hip fracture in people with diabetes
    Jeongmin Lee, Kyungdo Han, Sang Hyun Park, Mee Kyoung Kim, Dong-Jun Lim, Kun-Ho Yoon, Moo-Il Kang, Seung-Hwan Lee
    Metabolism.2022; 129: 155135.     CrossRef
  • The Influence of Obesity and Metabolic Health on Vascular Health
    Eun-Jung Rhee
    Endocrinology and Metabolism.2022; 37(1): 1.     CrossRef
  • Variability of Metabolic Risk Factors: Causative Factor or Epiphenomenon?
    Hye Jin Yoo
    Diabetes & Metabolism Journal.2022; 46(2): 257.     CrossRef
  • Changes in Underweight Status and Risk of Hip Fracture: A Korean Nationwide Population-Based Cohort Study
    Sangsoo Han, Jiwon Park, Hae-Dong Jang, Kyungdo Han, Choungah Lee, Wonseok Kim, Jae-Young Hong
    Journal of Clinical Medicine.2022; 11(7): 1913.     CrossRef
  • Dynamic physical examination indicators of cardiovascular health: A single-center study in Shanghai, China
    Rongren Kuang, Yiling Liao, Xinhan Xie, Biao Li, Xiaojuan Lin, Qiang Liu, Xiang Liu, Wenya Yu, Yajing Wang
    PLOS ONE.2022; 17(5): e0268358.     CrossRef
  • Characteristics and Clinical Course of Diabetes of the Exocrine Pancreas: A Nationwide Population-Based Cohort Study
    Nami Lee, So Jeong Park, Dongwoo Kang, Ja Young Jeon, Hae Jin Kim, Dae Jung Kim, Kwan-Woo Lee, Edward J. Boyko, Seung Jin Han
    Diabetes Care.2022; 45(5): 1141.     CrossRef
  • Lipid Variability and Risk of Cardiovascular Diseases and All-Cause Mortality: A Systematic Review and Meta-Analysis of Cohort Studies
    Shuting Li, Leying Hou, Siyu Zhu, Qian Yi, Wen Liu, Yang Zhao, Feitong Wu, Xue Li, An Pan, Peige Song
    Nutrients.2022; 14(12): 2450.     CrossRef
  • Impact of Visit-to-Visit Triglyceride-Glucose Index Variability on the Risk of Cardiovascular Disease in the Elderly
    Fei Chen, Ying Pan, Ziqing Liu, Rong Huang, Jing Wang, Jian Shao, Yaqin Gong, Xiyi Sun, Xiaobo Jiang, Weihao Wang, Zhaoqiang Li, Shao Zhong, Qi Pan, Kaixin Zhou, Muhammad Furqan Akhtar
    International Journal of Endocrinology.2022; 2022: 1.     CrossRef
  • Fenofibrate add-on to statin treatment is associated with low all-cause death and cardiovascular disease in the general population with high triglyceride levels
    Kyung-Soo Kim, Sangmo Hong, Kyungdo Han, Cheol-Young Park
    Metabolism.2022; 137: 155327.     CrossRef
  • Mean versus variability of lipid measurements over 6 years and incident cardiovascular events: More than a decade follow-up
    Soroush Masrouri, Leila Cheraghi, Niloofar Deravi, Neda Cheraghloo, Maryam Tohidi, Fereidoun Azizi, Farzad Hadaegh
    Frontiers in Cardiovascular Medicine.2022;[Epub]     CrossRef
  • Long-Term Variability in Physiological Measures in Relation to Mortality and Epigenetic Aging: Prospective Studies in the US and China
    Hui Chen, Tianjing Zhou, Shaowei Wu, Yaying Cao, Geng Zong, Changzheng Yuan
    SSRN Electronic Journal .2022;[Epub]     CrossRef
  • Acute Glucose Shift Induces the Activation of the NLRP3 Inflammasome in THP-1 Cells
    Ji Yeon Lee, Yup Kang, Hae Jin Kim, Dae Jung Kim, Kwan Woo Lee, Seung Jin Han
    International Journal of Molecular Sciences.2021; 22(18): 9952.     CrossRef
  • Body Weight Change and Cardiovascular Disease: Effect of Weight Gain, Weight Loss, and Weight Cycling
    Jung-Hwan Cho, Eun-Jung Rhee, Won-Young Lee
    Cardiovascular Prevention and Pharmacotherapy.2021; 3(4): 73.     CrossRef
  • Fasting Glucose Variability as a Risk Indicator for End-Stage Kidney Disease in Patients with Diabetes: A Nationwide Population-Based Study
    Da Young Lee, Jaeyoung Kim, Sanghyun Park, So Young Park, Ji Hee Yu, Ji A. Seo, Nam Hoon Kim, Hye Jin Yoo, Sin Gon Kim, Kyung Mook Choi, Sei Hyun Baik, Kyungdo Han, Nan Hee Kim
    Journal of Clinical Medicine.2021; 10(24): 5948.     CrossRef
  • Characteristics and Clinical Course of Diabetes of the Exocrine Pancreas: A Nationwide Population-Based Cohort Studybrief Title: Diabetes of the Exocrine Pancreas
    Nami Lee, So Jeong Park, Dongwoo Kang, Ja Young Jeon, Hae Jin Kim, Dae Jung Kim, Kwan-Woo Lee, Edward J. Boyko, Seung Jin Han
    SSRN Electronic Journal .2021;[Epub]     CrossRef
  • Validation of a wearable cuff-less wristwatch-type blood pressure monitoring device
    Joon Ho Moon, Myung-Kyun Kang, Chang-Eun Choi, Jeonghee Min, Hae-Young Lee, Soo Lim
    Scientific Reports.2020;[Epub]     CrossRef
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Original Article
Relationship between Blood Pressure and Insulin Level or Red Cell Membrane Na+ Transport in Acromegaly.
Seong Yeon Kim, Hyun Kyu Kim, Kyung Soo Park, Bo Youn Cho, Hong Kyu Lee, Chang Soon Koh
J Korean Endocr Soc. 1995;10(1):35-44.   Published online November 6, 2019
  • 1,096 View
  • 18 Download
AbstractAbstract PDF
To test the hypothesis that hyperinsulinemia and/or abnormalities of red cell membrane Na^+ transport are concerned in the pathogenesis of hypertension, we investigated the relationship between blood pressure, insulin level and red cell membrane Na^+ transport in patients with acromegaly which is frequently associated with hypertension, hyperinsulinemia and abnormalities of red cell membrane Na^+ transport.The results were as follows;1) BMI and both systolic and diastolic blood pressure were significantly higher in patients with acromegaly than in control subjects.2) Fasting glucose and insulin levels were higher, and both serum glucose and insulin responses after a 75g glucose load were significantly increased in patients with acromegaly as compared with control subjects.3) Vmax of Na^+-Li^+ countertransport were significantly higher in patients with acromegaly than in control subjects while red cell Na^+ concentration and Vmax of Na^+, K^+ ATPase were similar in the two groups.4) In multiple stepwise regression analysis, age was directly correlated with both systolic and diastolic blood pressure in acromegaly. On the other hand both insulin level and red cell membrane Na^+ transport showed little correlation with either systolic or diastolic pressure. 5) Prevalence of hypertension in acromegaly was 39%(9 out of 23) and only age except for blood pressure was significantly higher in hypertensive acromegalic patients than in normotensive acromegalic patients while GH level, insulin levels and red cell membrane Na^+ transport were similar in the two groupsThese results suggest that hyperinsulinemia or abnormalities of red cell membrane Na^+ transport are not causally related to hypertension in patients with acromegaly.
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